Photovoltaic power station intelligent information management system was officially released

Recently, the achievements of the intelligent information management system of photovoltaic power stations jointly developed by the General Institute of Hydroelectric Water Conservancy Planning and Design, China Power Investment Group Yellow River Upstream Development Co., Ltd. and Beijing Mulian Energy Software Technology Co., Ltd. were formally released.

Photovoltaic power station management information is becoming increasingly obvious

The research results have the function of online real-time monitoring of photovoltaic power stations and the analysis and evaluation of key indicators such as operating efficiency and failure rate of key equipment. It is the first technology platform for digitalization and intelligent unified management of photovoltaic power stations in China. This achievement has been successfully applied in the world's largest photovoltaic power plant Phase I Project (20MWp) in Qinghai Province and Qinghai Wulan (50MWp) and Tibet Sangri (10MWp).

“This research result can not only provide smart and efficient information processing for frontline constructors and producers of photovoltaic power plants, but also provide the most basic information basis for enterprises and governments in project management and industrial policy formulation.” Hydropower planning and design Wang Minhao, executive deputy director of the General Hospital and director of the National Wind Power Information Management Center, said.

Helps with the rapid information processing of photovoltaic power plants

It is understood that photovoltaic power plant intelligent information management system includes photovoltaic power plant production and operation management system, photovoltaic power plant data acquisition software, photovoltaic power plant identification system coding software, photovoltaic power plant KKS coding system rules, photovoltaic power plant production and operation index system.

Xie Xiaoping, general manager of the Upper Yellow River Hydropower Development Co., Ltd., stated that at present, China's large-scale photovoltaic power plants are characterized by large floor space, numerous types of components and inverters, different standards, and uneven product quality, and photovoltaic facilities Stopping is different from wind power and hydropower and requires more operation and maintenance personnel. Therefore, the rapid information processing and fault analysis of photovoltaic power plants is even more important.

"The application of the results proves that the system can remotely monitor the inverter's operating status, perform fault analysis, and trace the cause of the fault through color identification and simple and clear analysis. This system is an effective tool for rapid processing of information in photovoltaic power plants, which greatly accelerates the The speed of fault analysis facilitates the quick positioning of faults by the operational monitoring personnel and makes up for the deficiencies of the original monitoring system.At the same time, it improves the overall power generation efficiency of the power station, ensures the safe production and standardized operation of the power station, and accumulates a lot of empirical data, which is conducive to the further promotion of the power station. Optimize the design," he said.

Optimize power plant management and scientific operation

Wang Minhao said that the practical application of this information system in photovoltaic power plants will provide useful reference data and indicators for the design verification of photovoltaic power plants, the analysis of the effects of the operation of components, and the evaluation of the application of inverters, etc., which will help promote the development of photovoltaic power plants in China. Scientific, informative and intelligent management.

It is reported that in the case of the application of a photovoltaic power station in Golmud as an example, in the design phase, the total radiation of the site from August to November was 2242MJ/m2, the overall efficiency of the system was 79.3%, and the theoretical online power was 121.63 million kWh. Through the actual monitoring and analysis of the information system, the project's actual on-grid electricity amount was 119.44 million kWh in August-November 2012. The total radiation dose at the site was 2079 MJ/m2, and the system efficiency was 79.4%. This means that the information system “talks” with data to prove that the actual solar resource level and operational efficiency of the power plant are basically the same as the engineering design.

“On the one hand, the information system verifies the reliability and credibility of the Geermu power station project design. On the other hand, where the actual operation of the power station and the system monitoring analysis are inconsistent with the design, the design method and even the design standards can be reviewed. And revised to further improve the design standard and design level of photovoltaic power plants, said Wang Minhao.

Photovoltaic cell module quality is the fundamental guarantee of photovoltaic power generation capacity. After the Gelmyn Photovoltaic Phase I power station analyzed nine kinds of polycrystalline silicon cell modules manufactured by different manufacturers, it was found that an important reason for the difference in the power generation capability of polysilicon modules was The characteristics of the components are very different from those of the inverter. Therefore, in view of this problem, the Water Regulations Institute has already organized special studies to guide the optimal design of photovoltaic power plants.

The information system also contributes to the centralized application evaluation of the inverter. The intelligent information system analyzes and evaluates the operation status of the 500kW inverters of 9 types of Golmud PV power plants. The overall average conversion efficiency of the inverter is at a good level of 96.41%, which meets the requirement of the inverter in the feasibility study design phase. Conversion efficiency is not lower than 95% at rated power.

In addition, industry experts believe that the system is conducive to the realization of data mining and analysis of photovoltaic power plants, providing basic data for specific work decisions and departmental work plans; optimizing the business processes of photovoltaic power generation companies and improving the competitiveness of enterprises; standardizing technical processing Process; effectively distinguishes the boundary conditions of photovoltaic projects and system operations.

Promote healthy development of photovoltaic industry

China's renewable energy “12th Five-Year Plan” proposes that in 2015 the country’s installed capacity of solar power will reach 21GW. However, it should not be overlooked that, despite the rapid development of China's photovoltaic industry in recent years, the standards for the construction and operation of photovoltaic power plants are basically blank, and the current industry is still based on the “installation” of how many heroes.

Not long ago, the National Energy Administration issued the “Quality Supervision System Program for Renewable Energy Power Generation Projects”. The document stated that the National Renewable Energy Power Generation Project Quality Supervision Station will be established to improve the renewable energy power generation projects such as hydropower, wind power, and solar energy. Build existing supervision vacancies and strengthen engineering quality supervision in the energy industry. Among them, it is emphasized that the development of solar photovoltaic industry has just started. In the future, it will focus on the adoption of modern information technology to strengthen effective guidance for the healthy development of the industry.

Wang Minhao said that the total quality supervision station for renewable energy power generation projects is located at the Water Regulations Institute, and the Water Regulations Institute will strengthen the research on the specific operating rules and regulations for the quality supervision of renewable energy projects. The intelligent information management system for photovoltaic power stations will be released this time. It is an important means to strengthen the quality supervision of photovoltaic industry. "Accurately evaluate the photovoltaic power generation efficiency of each photovoltaic cell module through practical tests, and gradually form a healthy competition mechanism for the survival of the fittest and the photovoltaic components. In the future, the survival of the fittest for PV modules and other products is not simply based on market reputation, but rather clear and open. Data is used as a measurement standard. The data will be announced to the outside world on a regular basis and it will truly promote the healthy development of the photovoltaic industry through informationization, he said.

The relevant person in charge of the New Energy and Renewable Energy Division of the National Energy Administration also stated that the intelligent information management system for photovoltaic power plants is conducive to the industry's information statistics and reporting work, and the quantitative data will become a standard for the formulation of future photovoltaic industry policies. And guidance are very important reference indicators.

In addition, after years of development, the wind power industry has basically figured out the distribution of wind energy resources in China by means of resource surveys and professional on-site wind measurements. However, there are no unified and standard photometric equipment and methods for solar energy surveys in the country. There are still some limitations in resource evaluation. The large-scale application of this information system to photovoltaic power stations in the country (including distributed power stations) will help establish a nationwide solar energy resource information network, monitor the classification and distribution of solar energy resources, and realize resource information management.

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